OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 13.03.2026, 01:52

IBM (United States)

61.585 Arbeiten5.704.930 Zitationen
Land: USTyp: company

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Artificial Intelligence for Clinical Trial Design

Stefan Harrer, Pratik Shah, Bhavna Antony et al.

2019 · 605 Zit.

AI in Health: State of the Art, Challenges, and Future Directions

Fei Wang, Anita M. Preininger

2019 · 374 Zit.

The potential of artificial intelligence to improve patient safety: a scoping review

David W. Bates, David M. Levine, Ania Syrowatka et al.

2021 · 268 Zit.

Efficient Neural Network Robustness Certification with General Activation Functions

Huan Zhang, Tsui-Wei Weng, Pin‐Yu Chen et al.

2018 · 172 Zit.

Artificial intelligence in oncology: Path to implementation

Isaac S. Chua, Michal Gaziel‐Yablowitz, Zfania Tom Korach et al.

2021 · 155 Zit.

Evaluating artificial intelligence in medicine: phases of clinical research

Yoonyoung Park, Gretchen Purcell Jackson, Morgan A. Foreman et al.

2020 · 146 Zit.

Toward a responsible future: recommendations for AI-enabled clinical decision support

Steven E. Labkoff, Bilikis Oladimeji, Joseph Kannry et al.

2024 · 113 Zit.

Federated benchmarking of medical artificial intelligence with MedPerf

Alexandros Karargyris, Renato Umeton, Micah Sheller et al.

2023 · 110 Zit.

A Proposed Framework on Integrating Health Equity and Racial Justice into the Artificial Intelligence Development Lifecycle

Irene Dankwa‐Mullan, Elisabeth Scheufele, Michael E. Matheny et al.

2021 · 103 Zit.

Defining AMIA’s artificial intelligence principles

Anthony Solomonides, Eileen Koski, Shireen M. Atabaki et al.

2021 · 101 Zit.

Evaluation of an artificial intelligence clinical trial matching system in Australian lung cancer patients

Marliese Alexander, Benjamin Solomon, David Ball et al.

2020 · 82 Zit.

Assessed by Machines: Development of a TAM-Based Tool to Measure AI-based Assessment Acceptance Among Students.

José Carlos Sánchez‐Prieto, Juan Cruz-Benito, Roberto Therón et al.

2020 · 80 Zit.

Artificial Intelligence and Machine Learning Technologies in Cancer Care: Addressing Disparities, Bias, and Data Diversity

Irene Dankwa‐Mullan, Dilhan Weeraratne

2022 · 72 Zit.

Accuracy of an Artificial Intelligence System for Cancer Clinical Trial Eligibility Screening: Retrospective Pilot Study

Tufia C. Haddad, J. Helgeson, K. Pomerleau et al.

2021 · 70 Zit.

Recommendations for the safe, effective use of adaptive CDS in the US healthcare system: an AMIA position paper

Carolyn Petersen, Jeffery Smith, Robert R. Freimuth et al.

2020 · 67 Zit.